Module 4: Assignment Case Study Assignment 4.1: Visa is Enhancing the Customer Experience While Red ...

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Module 4: Assignment Case Study Assignment 4.1: Visa is Enhancing the Customer Experience While Reducing Fraud With Predictive Analytics IDEX BiometricsLinks to an external site. has gathered some interesting facts on credit card fraud in 2020: 46% of the world’s credit card fraud happens in the United States, out of which 25.7% charges were made to an existing credit card 21.4% were made using an existing checking or savings account 15.9% of transactions were made using an existing debit account 0.5% of transactions were made on an existing loan or line of credit 18.5% of transactions were made using financial accounts such as PayPal 65% of the time, credit card fraud results in a direct or indirect financial loss for the user According to the Nilson ReportLinks to an external site., global card losses are expected to exceed $35 billion by 2020 This case study assignment examines the use of predictive analytics to address an ongoing dilemma of extending customer credit card services while attempting to mitigate costly fraudulent activities. Often the expansion of additional credit card services also potentially increases fraudulent claims. This case will reinforce the value of data mining techniques and their role in predictive analytics. To complete this assignment, see page 194 in Business Intelligence, Analytics, and Data Science: A Managerial Perspective. In about one paragraph each, address the three questions associated with this case. To successfully complete this assignment, view the Case Study Assignment Rubric document.Download Case Study Assignment Rubric document.